JS9 Imexam Plugins
These tasks perform various types of image analysis using a rectangular box
surrounding the selected region. That is, the actual region shape is ignored
and the analysis reflects a rectangular section of image pixels. The selected
section can be rotated for box, ellipse, and line regions. For a line region,
the width is the length of the line, while the height is set to the value of
the JS9.globalOpts.imexamLineHeight parameter (default is 1).
Region Statistics
A rectangular box of image pixels is selected and some statistical
values are computed from the data.
Notes
- Totcounts and bscounts
Totcounts are the total counts in the box region, while bscounts
has the calculated background (see below) subtracted from the total.
- Background and Noise
The background and noise are obtained from the outer 4 pixel-wide
perimeter of the selected region. The background value is the median
value of this area and the noise value is the RMS.
- Centroid
The centroid is obtained by locating the brightest 9 pixel box and
computing the centroid of the background subtracted data about this point.
- FWHM
The FWHM is estimated from the image moments about the centroid, assuming
a Gaussian distribution.
X and Y Projection Plot
A rectangular box of image pixels is selected and the projection along
the region's X (width) or Y (height) axis is plotted. The sum,
average, or median of the projected pixels may be selected.
Radial Profile
A rectangular box of image pixels is selected and the pixels values
are plotted against their respective radii. A Gaussian is fit to the
radial profile data and the result is also plotted. The fitted
results of the 4 parameter fit are displayed with the plot.
The center pixel from which the radii are computed is determined from the
background subtracted centroid taken about the brightest 9 pixels in the data
(same centroid as is displayed in the region stats plugin).
Pixel Value Histogram
A rectangular box of image pixels is selected and a histogram of the
values is plotted. The selected pixels are binned into 250 bins
between the minimum and maximum value found in the selected region.
Encircled Energy
A rectangular box of image pixels is selected and background subtracted. The
analysis radius is determined from the region as follows:
- circle: region radius
- annulus: max annulus radius
- box: half the average height an width
- ellipse: average axis radius
- polygon: half the average of the height and width of polygon bounding box
The values within the analysis radius are binned in 1 pixel radial bins. The
bins are normalized by the sum of all pixels and the result is plotted.
The background is obtained as the median from the outer 4 pixel wide perimeter of the
selected region.
The center pixel from which the encircled energy is computed is determined from
the background subtracted centroid taken about the brightest 9 pixels in the
data (same centroid as is displayed in the region stats plugin).
The 50 and 80 percent encircled energy points are displayed over the plot.
3d Surface Plot
A rectangular box of image pixels is selected and plotted as a surface.